Data science operationalization is a simple enough concept.
But in practice it can be a complicated and often overwhelming challenge.
In this episode, Dave Cole is joined by Nishan Subedi, VP, Algorithms at Overstock.com, to discuss the best way to operationalize data science.
Nishan talked about:
The data science experts that make up the team at Overstock
Strategies to improve search and measure search success
The difference between ML engineers and ML scientists
How to design teams around product orientation
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
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